改善感音神经性听障感知的优化小波包算法设计

Q3 Computer Science
J. Chopade, N. P. Futane
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引用次数: 1

摘要

为了提高感音神经性听障人群的感知能力,提出了一种新的优化小波包算法。在这项工作中,我们利用MATLAB代码开发了优化的小波包和双正交小波基函数。在这里,我们基于准八度带宽的听觉滤波器创建了八个频带。通过对7名双侧轻度至重度感音神经性听力损失患者进行听力测试进行评估。听力测试使用的语音材料由一组15个无意义音节组成。测试结果表明,与未经处理的信号相比,该算法在识别分数、语音质量和整体特征传输方面有明显提高。响应时间也大大缩短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Optimized Wavelet Packet Algorithm to Improve Perception of Sensorineural Hearing Impaired
A novel optimized wavelet packet algorithm is proposed to improve the perception of sensorineural hearing-impaired people. In this work, we have developed optimized wavelet packet along with, biorthogonal wavelet basis functions using MATLAB Code. Here, we have created eight bands based on auditory filters of quasi octave bandwidth. Evaluation was carried out by conducting listening tests on seven subjects with bilateral mild to severe sensorineural hearing loss. The speech material used for the listening test consisted of a set of fifteen nonsense syllables in VCV context. The test results show that the proposed algorithm improves the recognition score, speech quality and transmission of overall feature specifically over the unprocessed signal. The response time also reduces significantly.
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CiteScore
3.20
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